(i) Normalized Mutual Information (NMI) \(\downarrow \)  [1]}: To check how much the deception methods are able to hide a particular target community C in the network, we calculate the NMI score between the original community structure of the network, \(CS = (C_{1}, C_{2}, ...C_{k})\)  and the new community structure obtained from a community detection algorithm on the updated network, \(CS^{\prime } = (C^{\prime }_{1}, C^{\prime }_{2}, ...C^{\prime }_{k^{\prime }})\) . The metric ranges from 0 (suggesting no overlap between \(CS\)  and \(CS^{\prime }\) ) to 1 (suggesting a complete overlap between \(CS\)  and \(CS^{\prime }\) ).
